概率神经网络算法与地震属性分析。
The arithmetic of NN probability and seismic attribute analysis.
用于运行和测试不同的人工神经网络算法。
Neupy - Running and testing different Artificial Neural Networks algorithms.
讨论系统辨识神经网络算法的鲁棒性问题。
In this paper, the problem on robust learning algorithm of the neural networks for system identification is discussed.
有人向您建议，一些神经网络算法可能会提供解决方案。
You have been advised that some neural net algorithm might provide a solution.
给出了平面测试问题的一种新型的神经网络算法。
A new neural network algorithm for the planarity testing problem is presented.
结合遗传算法，构造了布局子问题的遗传神经网络算法。
Then a genetic neural network for layout sub-problem is produced with GA and NN integrated together.
作者运用该神经网络算法设计了水下机器人的运动控制器。
The algorithm was applied to the control of an autonomous underwater vehicle designed by HEU.
并且引入模糊神经网络算法对模糊综合评判模型进行改进。
And introduce the fuzzy neural network models to improve the fuzzy comprehensive evaluation model.
研究了BP神经网络算法对空中目标进行威胁排序的方法。
Threat sequencing for aerial target based on BP neural network is researched in this paper.
该文首先引进了一类粗糙神经网络算法，研究了其性质、特点。
The paper firstly introduces a kind of algorithm based on rough neural networks and studies its properties, features.
不错的自组织神经网络算法，程序有注释。能运行，效果还行。
Good self-organizing neural network algorithm, the procedure Notes. Can run, the results were OK.
由此该文探讨的粗糙神经网络算法具有较高的应用价值及应用前景。
Accordingly, the rough neural network algorithm in the paper has more important value and prospect of application.
摘要：本文回顾了一些最新的求解非线性盲源分离问题的神经网络算法。
Abstract: in this paper, several recently proposed neural network approaches to nonlinear blind signal separation (BSS) are reviewed.
本文通过建立模型，以神经网络算法为基础来预测混凝土结构的抗压强度。
In this article a model is developed, based on neurocomputing, for predicting, with sufficient approximation, the compressive strength of cement conglomerates.
论文将基于神经网络算法补偿传感器测量误差的方法，应用到水利测量技术中。
The method which sensor error is compensated with the artifical neural network algorithms is applied to the hydraulic measurement technique.
介绍了用人工神经网络算法确定待复原颅面的软组织厚度及颅面特征点的方法。
Introducing a method to determine facial tissue thickness and facial landmarks using the algorithm of artificial neural network.
在标准反向传播神经网络算法的基础上，提出了一种改进的反向传播神经网络算法。
Based on the idea of standard back-propagation (BP) learning algorithm, an improved BP learning algorithm is presented.
本论文针对上述的GM(1,1)模型的局限性，利用BP神经网络算法进行了改进。
In this thesis, the above GM (1, 1) model of the limitations of using BP neural network is improved.
介绍了基于模糊神经网络算法的塑料饮料瓶自动分类系统，包括算法设计和系统实现。
A design of plastic bottle automatic classification system based on NeuroFuzzy network is introduced, which includes arithmetic and system realization.
由于传统遥感影像分类方法存在不足，因而采用神经网络算法进行遥感影像分类研究。
This paper describes the problem in the BP neural network approach and the approach of BP neural network based on vector information to the classification of remote sensing images.
传统的神经网络算法应用于故障诊断时，具有易陷入局部极小值，收敛速度较慢等缺点。
Traditional neural network algorithms are easy to fall into the local minimum, slow convergence when in fault diagnosis.
用人工神经网络算法计算了消失模铸造充型过程中不同时刻液态金属-模样界面的位置。
Artificial neural network technique was applied to calculate the locations of the metal front at time intervals in the lost foam casting (LFC).
针对模糊综合评判法主观性强，随机性大的缺点，引入模糊神经网络算法对其加以改进。
Because of the fuzzy comprehensive evaluation has subjective and random, we introduce the neural network to improve risk assessment model.
运用BP神经网络算法建立数据挖掘系统对解决煤炭行业中出现的实际问题有重大的意义。
Problems such as high noise data can be solved by using the user analysis model based on data mining, which is built with the application of BP Neutral Network Algorithm.
计算结果证明了基于改进BP神经网络算法建立的双馈水轮发电机负荷优化调节特性模型的有效性。
The calculation results prove that the model for load optimal regulative characteristic of doubly fed hydrogenerator based on improved BP neural network algorithm is effective.
分析了SOM神经网络算法在FPGA实现过程中要考虑的2个主要问题：并行性和有限字长效应。
This paper analyzes 2 critical problems in FPGA-based implementation of SOM neural network algorithm: parallelizability and finite word-length effect.
从工业过程实际应用要求出发，研究开发了基于模糊逻辑系统的小脑模型关节控制器神经网络算法。
A new neural algorithm based on fuzzy Cerebella Model Articulation Controller (CMAC) is researched for the application of industry process.
对插值算法、神经网络算法进行了分析，并利用这两种方法对P SD的非线性误差进行了修正补偿。
The bilinear interpolation and neural network was analyzed, and the two means were used to modify the nonlinearity error of PSD and compensate it.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
提出了一种基于神经网络算法的线性相位微分器优化设计方法，给出了线性相位微分器的优化设计实例。
The optimum design method and example on the linear phase differentiator based on the neural networks algorithm are presented.
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